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首页> 外文期刊>International Journal of Heat and Mass Transfer >The numerical investigation of nanofluid based cylinder battery thermal management using lattice Boltzmann method
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The numerical investigation of nanofluid based cylinder battery thermal management using lattice Boltzmann method

机译：基于格子Boltzmann方法的基于纳米流体的圆柱电池热管理数值研究

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摘要

The battery thermal management (BTM) system is necessary for electric vehicle (EV) to maintain the temperature of batteries. In order to enhance the cooling performance of BTM, the Al_2O_3-water nanofluid is employed and a lattice Boltzmann (LB) model for cylinder BTM is established. The validation of BTM numerical model has been conducted by solving the problem of a hollow cylinder with a uniformly distributed heat source. The cooling performances for one-battery and 5-batteries system have been investigated and the simulation results show that the nanofluid based BTM is able to maintain the temperature. Furthermore, for 5-batteries system, adding the nanoparticles can enhance the cooling performance and decrease the average temperature of battery effectively. Compared to the water based BTM, the average temperature of battery has been decreased by 7% with volume fraction as 0.04. Moreover, for the nanofluid with high volume fraction, increasing the Reynolds number will decrease the average temperature of battery, and make the standard deviation of battery temperature and maximum temperature larger in the meanwhile. The simulation results will be helpful to the design of nanofluid BTM system.
机译：电池热管理（BTM）系统是电动汽车（EV）保持电池温度所必需的。为了提高BTM的冷却性能，采用Al_2O_3-水纳米流体，建立了圆柱BTM的格子Boltzmann（LB）模型。通过解决具有均匀分布的热源的空心圆柱体的问题，进行了BTM数值模型的验证。研究了单电池和五电池系统的冷却性能，仿真结果表明基于纳米流体的BTM能够保持温度。此外，对于5电池系统，添加纳米粒子可以提高冷却性能并有效降低电池的平均温度。与水基BTM相比，电池的平均温度降低了7％，体积分数为0.04。此外，对于具有高体积分数的纳米流体，增加雷诺数将降低电池的平均温度，同时使电池温度和最高温度的标准偏差变大。仿真结果将有助于纳米流体BTM系统的设计。

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